Prison Inmates in India

Demographics, Age, Education, Caste, Wages, Rehabilitation, Technical Info

By Rajanand Ilangovan [source]

About this dataset

This dataset provides a detailed view of prison inmates in India, including their age, caste, and educational background. It includes information on inmates from all states/union territories for the year 2019 such as the number of male and female inmates aged 16-18 years, 18-30 year old inmates and those above 50 years old. The data also covers total number of penalized prisoners sentenced to death sentence, life imprisonment or executed by the state authorities. Additionally, it provides information regarding the crimehead (type) committed by an inmate along with its grand total across different age groups. This dataset not only sheds light on India’s criminal justice system but also highlights prevelance of crimes in different states and union territories as well as providing insight into crime trends across Indian states over time

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How to use the dataset

This dataset provides a comprehensive look at the demographics, crimes and sentences of Indian prison inmates in 2019. The data is broken down by state/union territory, year, crime head, age groups and gender.

This dataset can be used to understand the demographic composition of the prison population in India as well as the types of crimes committed. It can also be used to gain insight into any changes or trends related to sentencing patterns in India over time. Furthermore, this data can provide valuable insight into potential correlations between different demographic factors (such as gender and caste) and specific types of crimes or length of sentences handed out.

To use this dataset effectively there are a few important things to keep in mind: •State/UT - This column refers to individual states or union territories in India where prisons are located •Year – This column indicates which year(s) the data relates to •Both genders - Female columns refer only to female prisoners while male columns refers only to male prisoners •Age Groups – 16-18 years old = 21-30 years old = 31-50 years old = 50+ years old •Crime Head – A broad definition for each type of crime that inmates have been convicted for •No Capital Punishment – The total number sentenced with capital punishment No Life Imprisonment – The total number sentenced with life imprisonment No Executed– The total number executed from death sentence Grand Total–The overall totals for each category

By using this information it is possible to answer questions regarding topics such as sentencing trends, types of crimes committed by different age groups or genders and state-by-state variation amongst other potential queries

Research Ideas

• Using the age and gender information to develop targeted outreach strategies for prisons in order to reduce recidivism rates.
• Creating an AI-based predictive model to predict crime trends by analyzing crime head data from a particular region/state and correlating it with population demographics, economic activity, etc.
• Analyzing the caste of inmates across different states in India in order to understand patterns of discrimination within the criminal justice system

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original.

Columns

File: SLL_Crime_headwise_distribution_of_inmates_who_convicted.csv | Column name | Description | |:--------------------------|:---------------------------------------------------------------------------------------------------| | STATE/UT | Name of the state or union territory where the jail is located. (String) | | YEAR | Year when the inmate population data was collected. (Integer) ...

THIS DATASET WAS LAST UPDATED AT 8:11 PM EASTERN ON SEPT. 30

OVERVIEW

2019 had the most mass killings since at least the 1970s, according to the Associated Press/USA TODAY/Northeastern University Mass Killings Database.

In all, there were 45 mass killings, defined as when four or more people are killed excluding the perpetrator. Of those, 33 were mass shootings . This summer was especially violent, with three high-profile public mass shootings occurring in the span of just four weeks, leaving 38 killed and 66 injured.

A total of 229 people died in mass killings in 2019.

The AP's analysis found that more than 50% of the incidents were family annihilations, which is similar to prior years. Although they are far less common, the 9 public mass shootings during the year were the most deadly type of mass murder, resulting in 73 people's deaths, not including the assailants.

One-third of the offenders died at the scene of the killing or soon after, half from suicides.

About this Dataset

The Associated Press/USA TODAY/Northeastern University Mass Killings database tracks all U.S. homicides since 2006 involving four or more people killed (not including the offender) over a short period of time (24 hours) regardless of weapon, location, victim-offender relationship or motive. The database includes information on these and other characteristics concerning the incidents, offenders, and victims.

The AP/USA TODAY/Northeastern database represents the most complete tracking of mass murders by the above definition currently available. Other efforts, such as the Gun Violence Archive or Everytown for Gun Safety may include events that do not meet our criteria, but a review of these sites and others indicates that this database contains every event that matches the definition, including some not tracked by other organizations.

This data will be updated periodically and can be used as an ongoing resource to help cover these events.

Using this Dataset

To get basic counts of incidents of mass killings and mass shootings by year nationwide, use these queries:

Mass killings by year

Mass shootings by year

To get these counts just for your state:

Filter killings by state

Definition of "mass murder"

Mass murder is defined as the intentional killing of four or more victims by any means within a 24-hour period, excluding the deaths of unborn children and the offender(s). The standard of four or more dead was initially set by the FBI.

This definition does not exclude cases based on method (e.g., shootings only), type or motivation (e.g., public only), victim-offender relationship (e.g., strangers only), or number of locations (e.g., one). The time frame of 24 hours was chosen to eliminate conflation with spree killers, who kill multiple victims in quick succession in different locations or incidents, and to satisfy the traditional requirement of occurring in a “single incident.”

Offenders who commit mass murder during a spree (before or after committing additional homicides) are included in the database, and all victims within seven days of the mass murder are included in the victim count. Negligent homicides related to driving under the influence or accidental fires are excluded due to the lack of offender intent. Only incidents occurring within the 50 states and Washington D.C. are considered.

Methodology

Project researchers first identified potential incidents using the Federal Bureau of Investigation’s Supplementary Homicide Reports (SHR). Homicide incidents in the SHR were flagged as potential mass murder cases if four or more victims were reported on the same record, and the type of death was murder or non-negligent manslaughter.

Cases were subsequently verified utilizing media accounts, court documents, academic journal articles, books, and local law enforcement records obtained through Freedom of Information Act (FOIA) requests. Each data point was corroborated by multiple sources, which were compiled into a single document to assess the quality of information.

In case(s) of contradiction among sources, official law enforcement or court records were used, when available, followed by the most recent media or academic source.

Case information was subsequently compared with every other known mass murder database to ensure reliability and validity. Incidents listed in the SHR that could not be independently verified were excluded from the database.

Project researchers also conducted extensive searches for incidents not reported in the SHR during the time period, utilizing internet search engines, Lexis-Nexis, and Newspapers.com. Search terms include: [number] dead, [number] killed, [number] slain, [number] murdered, [number] homicide, mass murder, mass shooting, massacre, rampage, family killing, familicide, and arson murder. Offender, victim, and location names were also directly searched when available.

This project started at USA TODAY in 2012.

Contacts

Contact AP Data Editor Justin Myers with questions, suggestions or comments about this dataset at jmyers@ap.org. The Northeastern University researcher working with AP and USA TODAY is Professor James Alan Fox, who can be reached at j.fox@northeastern.edu or 617-416-4400.

1. Database contents The Russian Short-Term Mortality Fluctuations database (RusSTMF) contains a series of standardized and crude death rates for men, women and both sexes for Russia as a whole and its regions for the period from 2000 to 2021. All the output indicators presented in the database are calculated based on data of deaths registered by the Vital Registry Office. The weekly death counts are calculated based on depersonalized individual data provided by the Russian Federal State Statistics Service (Rosstat) at the request of the HSE. Time coverage: 03.01.2000 (Week 1) – 31.12.2021 (Week 1148)
2. A brief description of the input data on deaths Date of death: date of occurrence Unit of time: week First and last days of the week: Monday – Sunday First and last week of the year: The weeks are organized according to ISO 8601:2004 guidelines. Each week of the year, including the first and last, contains 7 days. In order to get 7-day weeks, the days of previous years are included in this first week (if January 1 fell on Tuesday, Wednesday or Thursday) or in the last calendar week (if December 31 fell on Thursday, Friday or Saturday). Age groups: the entire population Sex: men, women, both sexes (men and women combined) Restrictions and data changes: data on deaths in the Pskov region were excluded for weeks 9-13 of 2012 Note: Deaths with an unknown date of occurrence (unknown year, month, or day) account for about 0.3% of all deaths and are excluded from the calculation of week-age-specific and standardized death rates.
3. Description of the week-specific mortality rates data file Week-specific standardized death rates for Russia as a whole and its regions are contained in a single data file presented in .csv format. The format of data allows its uploading into any system for statistical analysis. Each record (row) in the data file contains data for one calendar year, one week, one territory, one sex. The decimal point is dot (.) The first element of the row is the territory code ("PopCode" column), the second element is the year ("Year" column), the third element ("Week" column) is the week of the year, the fourth element ("Sex" column) is sex (F – female, M – male, B – both sexes combined). This is followed by a column "CDR" with the value of the crude death rate and "SDR" with the value of the standardized death rate. If the indicator cannot be calculated for some combination of year, sex, and territory, then the corresponding meaningful data elements in the data file are replaced with ".".

The map is based on Bureau of Justice Statistic (BJS) annual statistic on prison population. It was combined with the annual population estimates from Census to compute female prisoners per 100k population. The top 10 states with largest male prison population per 100k in 2004 are Delaware, Oklahoma, Texas, Mississippi, Louisiana, Montana, Arizona, Idaho, Missouri, Connecticut. Compared to top ten states for Male prisoners, which are all in south, the top 10 female prisoner states do not show geographic concentration. Data for Wash. DC is not reported, according to BJS, the "responsibility for felons was transferred to the Federal Bureau of Prisons". Only those female prisoners with one or more years of sentence are included. Source for parole data: Data source: BJS, National Prisoner Statistics data series (NPS-1) URL: http://www.ojp.usdoj.gov/bjs/data

This dataset is about artists. It has 1 row and is filtered where the artworks is Male and Female Costume, Amoy. It features 9 columns including birth date, death date, country, and gender.

This annual survey, fielded August to October 1999, was conducted in over 50 countries to solicit public opinion on social and political issues. Respondents were asked to give their opinion on the environment. Questions included the overall state that the environment is in, if the government has done too much, too little, or just the right amount concerning the environment, and the biggest threat to the environment for future generations. They were also queried on whether they thought their countries elections were free and fair, and what words best describe their perception of the government. Questions concerning religion were also asked. These focused on whether there is only one true religion, many true religions, or no essential truth in any religion, how important God is in their life, and praying and meditation. Respondents were asked to give their opinion on women's rights. Questions included whether they thought women have equal rights in their country, whether they thought education is more important for boys or girls, whether women need to have children in order to feel fulfilled, and whether women in advanced countries must insist more for the rights of women in the developing world. They were also asked to give their opinion on the issue of crime. They were asked how concerned they were about the level of crime in their country, if crime had increased or decreased in the last five years, how well the government was handling crime, and if they were for or against the death penalty. They were also asked what they thought matters most in life, and what they thought about the United Nations. Questions pertaining to human rights were also asked, such as whether discrimination based on sex, color, language, religion, or political opinion was taking place in their country. They were also asked if they thought that the use of torture was being documented, how effective stricter international laws would be in reducing torture, how effective more prosecutions of those suspected of torture would be in eliminating it, how effective greater public awareness of the incidence of torture would be in helping eliminate it, and how effective a grassroots campaign to eliminate torture would be. Respondents were also queried on the year 2000 computer problem. Demographics include sex, age, education, occupation, marital status, children under 15 living in household, religious denomination, religiosity, and region.

Abstract copyright UK Data Service and data collection copyright owner. The aim of this study was to measure forms of class imagery and relate their incidence to other variables, including income, occupation, uses of leisure, patterns of family life, attitudes towards education and political orientations. Main Topics: Attitudinal/Behavioural Questions Perception of class, subjective social class (self and father). Respondent asked to name the classes above and below self-assigned class. Attitude to class above/below, class satisfaction, expectations/aspirations, social mobility. Occupation: type (respondent, spouse and father), nature of firm, job satisfaction. Opinions on: job security, promotion prospects, degree of contact (and co-operation) between manual and non-manual workers, union (non) membership with reasons. Satisfaction with pension, holidays, sickness schemes, hours of work, supervision, trade unions. Opinions on: law and order, race, nationalism, roles of men and more particularly women in society including, abortion, birth control, equal opportunities. Aspirations for children. Religious affiliation, church attendance, political support, voting pattern. Leisure activities, club membership. Background Variables Age, marital status, children (age, sex, employment status), age completed secondary education, further education, qualifications. Residence: previous (if outside Woolton/Allerton), tenure. Occupation: length, previous employment (if outside Merseyside), total number of jobs during working life, changes in trade or profession, second job. Income, car ownership, telephone ownership. Simple random sample males on electoral registers Face-to-face interview 1972 ABORTION ACHIEVEMENT AGE ATTITUDES BOYS CHILDREN CLUBS COMMUNITIES CONDITIONS OF EMPLO... CONTRACEPTIVE DEVICES CRIME AND SECURITY CRIME VICTIMS DEATH PENALTY DIVORCE ELEVEN PLUS EXAMINA... EMPLOYMENT ENTERTAINMENT EQUAL OPPORTUNITY EQUAL PAY England Equality FAMILY LIFE FAMILY ROLES FAMILY SIZE FATHERS FRIENDS FURTHER TRAINING GENDER GIRLS HOLIDAYS HOURS OF WORK HOUSEHOLD BUDGETS HOUSEHOLDS HOUSEWORK HOUSING HOUSING TENURE INCOME INCOME DISTRIBUTION INTERGROUP RELATIONS INTERPERSONAL COMMU... JOB SATISFACTION LABOUR RELATIONS LEAVE LEISURE TIME ACTIVI... MANUAL WORKERS MARITAL STATUS MARRIAGE MARRIED MEN MARRIED WOMEN WORKERS MEMBERSHIP MOTOR VEHICLES NATIONALIZATION OCCUPATIONAL CHOICE OCCUPATIONAL PENSIONS OCCUPATIONS OVERTIME PARENT CHILD RELATI... PARENTS POLICE SERVICES POLITICAL ALLEGIANCE PRIVATE OWNERSHIP PROFESSIONAL ASSOCI... PROMOTION JOB QUALIFICATIONS RACE RELATIONS RELIGIOUS AFFILIATION RELIGIOUS ATTENDANCE SATISFACTION SAVINGS SCHOOL LEAVING AGE SECONDARY EDUCATION SECONDARY SCHOOLS SIBLINGS SICK LEAVE SOCIAL CLASS SOCIAL MOBILITY SPOUSES TELEPHONES TRADE UNION MEMBERSHIP TRADE UNIONS WAGES WHITE COLLAR WORKERS WOMEN S EDUCATION WOMEN S MOVEMENT WOMEN S RIGHTS WORK STUDY WORKERS WORKING CONDITIONS inequality and soci...

Abstract copyright UK Data Service and data collection copyright owner. The British Social Attitudes (BSA) survey series is designed to complement large-scale government surveys such as the General Household Survey and the Labour Force Survey, which collect mainly factual and behavioural data. One of its main purposes is to allow the monitoring of patterns of continuity and change, and the examination of the relative rates at which attitudes, in respect of a range of social issues, change over time. The Young People's Social Attitudes Survey (YPSA) is an offshoot of the 1994 BSA survey. It was designed to explore the attitudes and values of children and young people, and where possible to make comparisons with those held by adults in 1994. A further YPSA survey was carried out in 1998 as an offshoot of the 1998 BSA. It is held at the UK Data Archive under SN:4231. Main Topics: Key topics covered included: age of consent; judgements of right and wrong; education, school life and sex education; crime and punishment; race prejudice and discrimination; family life and gender roles; political knowledge, political interest and political identity; important factors in 'doing well in life'; life ambitions and aspirations. Multi-stage stratified random sample Face-to-face interview 1994 ADMINISTRATION OF J... ADOLESCENTS AGE ALCOHOL USE ASIANS ASPIRATION ASSAULT ATTITUDES BLACK PEOPLE BULLYING BURGLARY BUSINESSES CENSORSHIP CHILD CARE CHILD MINDING CHILDHOOD CHILDREN COHABITATION CRIME AND SECURITY CRIME PREVENTION CRIME VICTIMS CRIMINAL DAMAGE CURRICULUM DEATH PENALTY DEGREES DISABILITIES DISEASES DOMESTIC RESPONSIBI... DRIVING ECONOMIC ACTIVITY EDUCATION EDUCATIONAL BACKGROUND EDUCATIONAL TESTS EMPLOYEES EMPLOYMENT EMPLOYMENT OPPORTUN... EQUAL OPPORTUNITY ETHNIC GROUPS EXAMINATIONS FAMILIES FAMILY ENVIRONMENT FAMILY ROLES FEAR OF CRIME FIELDS OF STUDY FILMS FURTHER EDUCATION GENDER Great Britain HIGHER EDUCATION HIGHER EDUCATION IN... HOME OWNERSHIP HOURS OF WORK HOUSEHOLDS INFORMATION JUVENILE DELINQUENCY LAW ENFORCEMENT LEAVING HOME YOUTH LEGAL STATUS LEGISLATION MARRIAGE MARRIAGE DISSOLUTION MASS MEDIA MEN MIXED MARRIAGES MOTOR VEHICLES NATIONALITY DISCRIM... NEWSPAPER READERSHIP NEWSPAPERS OCCUPATIONAL TRAINING ONE PARENT FAMILIES PARENT PARTICIPATION PARENT SCHOOL RELAT... PART TIME EMPLOYMENT POLITICAL ALLEGIANCE POLITICAL ATTITUDES POLITICAL AWARENESS POLITICAL INTEREST POLITICAL REPRESENT... POVERTY PRISON SENTENCES PRIVATE EDUCATION PRIVATE SCHOOLS PROFESSIONAL OCCUPA... PUNISHMENT QUALIFICATIONS QUALITY OF LIFE RACIAL DISCRIMINATION RACIAL PREJUDICE RELIGION RELIGIOUS AFFILIATION RELIGIOUS ATTENDANCE RELIGIOUS DOCTRINES RESPONSIBILITY SATISFACTION SCHOOL DISCIPLINE SCHOOL LEAVING AGE SCHOOL PUNISHMENTS SCHOOL STUDENT RELA... SCHOOLCHILDREN SELECTIVE SCHOOLS SELF EMPLOYED SEX EDUCATION SEXUAL BEHAVIOUR SOCIAL ATTITUDES SOCIAL INEQUALITY SOCIAL RESPONSIBILITY STANDARD OF LIVING STUDENT PARTICIPATION STUDENTS Social conditions a... TEACHER STUDENT REL... THEFT TRAVEL TRUST UNEMPLOYMENT UNIVERSITIES UPPER SECONDARY EDU... VOCATIONAL EDUCATION WEALTH WOMEN S EMPLOYMENT WORK ATTITUDE WORKING MOTHERS WORKING WOMEN YOUTH EMPLOYMENT Youth

This dataset displays the number of casualties and injuries on a state level. For each state in the United States statistics are given for both Operation Enduring Freedom, and Operation Iraqi Freedom. These figures are current as of April 26, 2008. These statistics are given for both hostile and non hostile instances. As well as figures for death and (WIA) - Wounded in action. H=Hostile; NH=Non-hostile * WIA (est) = Additional estimated WIA for the state based on reported losses (not all WIA records have home of record detail) * WIA (act) = Actual Wounded in Action (WIA) with home of record for the specified state